| Title: | The association of sleep duration and leukocyte telomere length in middle-aged and young-old adults: A cross-sectional study of UK Biobank |
| Journal: | Sleep Medicine |
| Published: | 7 Mar 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38493659/ |
| DOI: | https://doi.org/10.1016/j.sleep.2024.02.043 |
Publication 8625
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Abstract
BACKGROUND: The relationships between sleep duration and aging-associated diseases are intricate. Leukocyte telomere length (LTL) is a biomarker of aging, while the association of sleep duration and LTL is unclear.</p>
METHODS: The 310,091 study participants from UK Biobank were enrolled in this cross-sectional study. Restricted cubic splines (RCS) analysis was firstly performed to assess the nonlinear relationship between sleep duration and LTL. Sleep duration was then categorized into three groups: <7 h (short sleep duration), 7-8 h (reference group), and >8 h (long sleep duration) and multiple linear regression was applied to analyze the association of short sleep and long sleep duration with LTL. We further performed subgroup analyses stratified by sex, age, chronotype and snoring.</p>
RESULTS: RCS showed an inverted J-shaped relationship between sleep duration and LTL. Compared with the reference group, the inverse association of long sleep duration and LTL was statistically significant in fully-adjusted model (P = 0.001). Subgroup analyses showed that this association was more apparent in people over 50 years (51-60 y: P = 0.002; >60 y: P = 0.005), in men (P = 0.022), and in people preferred evening chronotype (P = 0.001).</p>
CONCLUSION: Compared with participants sleeping 7-8 h, those sleep longer than 8 h had shorter LTL in middle-aged and young-old adults. The negative association between long sleep duration and LTL was more apparent in older people, in men, and in people preferred evening chronotype.</p>
8 Authors
- Yuchun Zhang
- Yuanting Zhu
- Xiaojun Zhang
- Chunhao Li
- Hongna Fu
- Luyang Lin
- Zhen Yang
- Bo Zhang
1 Application
| Application ID | Title |
|---|---|
| 92584 | Research on cardiovascular diseases, severe or acute diseases, chronic diseases and their related risk factors |
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